State-of-Health Estimation and Remaining-Useful-Life Prediction for Lithium-Ion Battery Using a Hybrid Data-Driven Method

IEEE Transactions on Vehicular Technology ◽

10.1109/tvt.2020.3014932 ◽

2020 ◽

Vol 69 (10) ◽

pp. 10854-10867 ◽

Author(s):

Bin Gou ◽

Yan Xu ◽

Xue Feng

Keyword(s):

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Data Driven ◽

State Of Health ◽

Hybrid Data ◽

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Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter

Journal of Power Sources ◽

10.1016/j.jpowsour.2014.07.176 ◽

2014 ◽

Vol 271 ◽

pp. 114-123 ◽

Author(s):

Hancheng Dong ◽

Xiaoning Jin ◽

Yangbing Lou ◽

Changhong Wang

Keyword(s):

Particle Filter ◽

Support Vector Regression ◽

Lithium Ion Battery ◽

Health Monitoring ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Support Vector ◽

State Of Health ◽

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Prediction of lithium-ion battery remaining useful life based on hybrid data-driven method with optimized parameter

2017 2nd International Conference on Power and Renewable Energy (ICPRE) ◽

10.1109/icpre.2017.8390489 ◽

2017 ◽

Author(s):

Yishan Cai ◽

Lin Yang ◽

Zhongwei Deng ◽

Xiaowei Zhao ◽

Hao Deng

Keyword(s):

Lithium Ion Battery ◽

Lithium Ion ◽

Remaining Useful Life ◽

Data Driven ◽

Hybrid Data ◽

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State of Health Diagnosis and Remaining Useful Life Prediction for Lithium-ion Battery Based on Data Model Fusion Method

IEEE Access ◽

10.1109/access.2020.3038182 ◽

2020 ◽

Vol 8 ◽

pp. 207298-207307

Author(s):

Xiangbo Cui ◽

Tete Hu

Keyword(s):

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Fusion Method ◽

State Of Health ◽

Model Fusion ◽

Useful Life ◽

Health Diagnosis

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Remaining useful life prediction of lithium-ion battery using a hybrid model-based filtering and data-driven approach

2017 11th Asian Control Conference (ASCC) ◽

10.1109/ascc.2017.8287603 ◽

2017 ◽

Author(s):

Xiujuan Zheng ◽

Huaiyu Wu ◽

Yang Chen

Keyword(s):

Lithium Ion Battery ◽

Hybrid Model ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Data Driven ◽

Model Based ◽

Data Driven Approach ◽

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Remaining Useful Life Prediction and State of Health Diagnosis of Lithium-Ion Battery Based on Second-Order Central Difference Particle Filter

IEEE Access ◽

10.1109/access.2020.2974401 ◽

2020 ◽

Vol 8 ◽

pp. 37305-37313

Author(s):

Yuan Chen ◽

Yigang He ◽

Zhong Li ◽

Liping Chen ◽

Chaolong Zhang

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Second Order ◽

Remaining Useful Life ◽

State Of Health ◽

Central Difference ◽

Useful Life ◽

Health Diagnosis

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Remaining useful life prediction for lithium-ion battery by combining an improved particle filter with sliding-window gray model

Energy Reports ◽

10.1016/j.egyr.2020.07.026 ◽

2020 ◽

Vol 6 ◽

pp. 2086-2093

Author(s):

Lin Chen ◽

Jingjing An ◽

Huimin Wang ◽

Mo Zhang ◽

Haihong Pan

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Sliding Window ◽

Remaining Useful Life ◽

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Novel Statistical Analysis Approach for Remaining Useful Life Prediction of Lithium-Ion Battery

10.1109/icccnt51525.2021.9579982 ◽

2021 ◽

Author(s):

Yash S. Jain ◽

Atharva D. Veer ◽

Gaurav S. Sawant ◽

Yash R. Jain ◽

Sandeep S. Udmale

Keyword(s):

Statistical Analysis ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Analysis Approach ◽

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A hybrid approach based on decomposition algorithm and neural network for remaining useful life prediction of lithium-ion battery

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.108082 ◽

2021 ◽

pp. 108082

Author(s):

Ting Tang ◽

Huimei Yuan

Keyword(s):

Neural Network ◽

Lithium Ion Battery ◽

Life Prediction ◽

Hybrid Approach ◽

Lithium Ion ◽

Remaining Useful Life ◽

Decomposition Algorithm ◽

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Remaining useful life prediction of lithium-ion battery with unscented particle filter technique

Microelectronics Reliability ◽

10.1016/j.microrel.2012.12.004 ◽

2013 ◽

Vol 53 (6) ◽

pp. 805-810 ◽

Author(s):

Qiang Miao ◽

Lei Xie ◽

Hengjuan Cui ◽

Wei Liang ◽

Michael Pecht

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

Filter Technique ◽

Unscented Particle Filter ◽

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Remaining useful life prediction of lithium‐ion battery based on extended Kalman particle filter

International Journal of Energy Research ◽

10.1002/er.5002 ◽

2019 ◽

Vol 44 (3) ◽

pp. 1724-1734 ◽

Author(s):

Bin Duan ◽

Qi Zhang ◽

Fei Geng ◽

Chenghui Zhang

Keyword(s):

Particle Filter ◽

Lithium Ion Battery ◽

Life Prediction ◽

Lithium Ion ◽

Remaining Useful Life ◽

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